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Record W4255949382 · doi:10.3886/icpsr08943

Effectiveness of Client Specific Planning as an Alternative Sentence, 1981-1982: Washington, DC, and Fairfax, Montgomery, and Prince George Counties

2014· dataset· en· W4255949382 on OpenAlexaboutno aff
William H. Clements

Bibliographic record

VenueICPSR Data Holdings · 2014
Typedataset
Languageen
FieldEconomics, Econometrics and Finance
TopicHealthcare Policy and Management
Canadian institutionsnot available
Fundersnot available
KeywordsGeorge (robot)SentenceOperations researchGerontologyPsychologyHistoryMedicineComputer scienceEngineeringArt historyArtificial intelligence

Abstract

fetched live from OpenAlex

This data collection was designed to evaluate the Client Specific Planning (CSP) program of the National Center on Institutions and Alternatives (NCIA). The CSP program offers non-incarcerative sentencing options and alternatives prepared for judges and presented by an NCIA caseworker. The study measures the impact of the program on sentence length, sentence severity, the effectiveness of the program at diverting serious felony offenders from incarceration, and the rate, type, seriousness, and timing of recidivism in a 24-month post-sentence risk period. Variables are provided for each defendant on demographic characteristics, criminal history, prior counseling experiences, prior incarceration, charges and dispositions of the recidivist arrests, and types of sentencing alternatives recommended in CSP.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.390
Threshold uncertainty score0.776

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.008
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0030.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.006

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.305
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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